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Kenaz

Know What You're Really Buying

Before investing in AI companies, you need the truth about their technology. We provide expert evaluation that reveals what's behind the pitch deck.

Quick Answers

What is AI technical due diligence?

Independent assessment of architecture, code, infra, model performance, and compliance to reveal risks pre-investment.

What do we deliver?

Executive summary with clear go/no-go recommendations, detailed architecture and code analysis, prioritized risk register, actionable remediation plan, and precise scalability forecasts.

Timeline

3 weeks total: Week 1 access/review, Week 2 deep audit, Week 3 synthesis/reporting.

Typical issues found

Hidden tech debt, scalability bottlenecks, single-person dependencies, compliance gaps.

Common AI Due Diligence Red Flags

  • Data leakage risks: Improper data handling potentially exposing sensitive data.
  • Vendor lock-in: Heavy dependency on a single vendor limiting flexibility.
  • Missing observability: Lack of monitoring, logging, and alerting for AI models.
  • Undisclosed compliance gaps: Hidden regulatory risks like GDPR or HIPAA violations.

Why Investors Need Independent Assessment

Pitch decks hide risks. Independent diligence validates architecture, scalability, and compliance before capital is deployed.

Hidden technical debt: 70% of AI startups have critical architectural flaws
Scalability myths: What works for 100 users often breaks at 10,000
Team dependencies: Is it great tech or just one brilliant engineer?
Compliance time bombs: Undisclosed regulatory risks in AI implementations

What We Evaluate

From code to costs: architecture, code quality, infra, model performance, security, compliance, and unit economics.

Architecture Reality Check

Beyond the PowerPoint: How is the AI actually built? We examine model quality, infrastructure design, and whether the technology can deliver claimed results at scale.

Code & Infrastructure Audit

We dive deep into the codebase to assess technical debt, scan for security vulnerabilities, identify scalability bottlenecks, and map operational dependencies that could become future liabilities.

Business Viability Analysis

We evaluate whether the economics work: analyzing cost to scale versus revenue potential, assessing if there's a real technical moat, examining team capabilities, and positioning the technology against competitors.

Your Due Diligence Report Includes

Executive Summary

2-page overview for investment committee:

  • • Go/No-Go recommendation
  • • Key risks ranked by impact
  • • Valuation implications
  • • Post-acquisition priorities

Technical Deep Dive

For your technical advisors:

  • • Architecture diagrams and assessment
  • • Code quality metrics
  • • Infrastructure cost projections
  • • Scalability analysis with specific bottlenecks

Risk Register

  • • Compliance and regulatory exposure
  • • Technical debt quantification
  • • Security vulnerabilities
  • • Team/knowledge risks

Our Process

Three focused weeks to move from access to executive-grade findings and actionable remediation.

Week 1:Access & Initial Review
  • • NDA execution and access setup
  • • Code repository analysis
  • • Architecture documentation review
Week 2:Deep Technical Audit
  • • Infrastructure assessment
  • • Model performance validation
  • • Security and compliance scan
Week 3:Synthesis & Reporting
  • • Risk quantification
  • • Recommendations development
  • • Executive presentation preparation

Who Uses This Service

VC funds evaluating AI startups
PE firms acquiring tech companies
Corporates buying AI capabilities
Strategic investors in deep tech

Why Swiss Diligence Matters

Swiss confidentiality laws protect your deal flow. Our assessments remain strictly confidential, and our neutral position ensures unbiased evaluation.

Make Informed Investment Decisions